EMNLP 2025

4,182 papers

HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation

Feng Xiong, Hongling Xu, Yifei Wang, Runxi Cheng, Yong Wang

APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport

Zhuo Li, Yuege Feng, Dandan Guo, Jinpeng Hu, Anningzhe Gao

Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks

Danny Wang, Ruihong Qiu, Guangdong Bai, Zi Huang

TombRaider: Entering the Vault of History to Jailbreak Large Language Models

Junchen Ding, Jiahao Zhang, Yi Liu, Ziqi Ding, Gelei Deng

Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models

Shuodi Liu, Yingzhuo Liu, Zi Wang, Yusheng Wang, Huijia Wu

From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversations

Shenghan Wu, Yimo Zhu, Wynne Hsu, Mong-Li Lee, Yang Deng

Search-o1: Agentic Search-Enhanced Large Reasoning Models

Xiaoxi Li, Guanting Dong, Jiajie Jin, Yuyao Zhang, Yujia Zhou

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling

Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng

KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation

Ziyi Guan, Jason Chun Lok Li, Zhijian Hou, Pingping Zhang, Donglai Xu

ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model

Zhongyi Zhou, Yichen Zhu, Minjie Zhu, Junjie Wen, Ning Liu

Cost-Optimal Grouped-Query Attention for Long-Context Modeling

Yingfa Chen, Yutong Wu, Chenyang Song, Zhen Leng Thai, Xingyu Shen

QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models

Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao

Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm

Zhuo Li, Yuhao Du, Xiaoqi Jiao, Steven Y. Guo, Yuege Feng

Judge and Improve: Towards a Better Reasoning of Knowledge Graphs with Large Language Models

Mo Zhiqiang, Yang Hua, Jiahui Li, Yuan Liu, Shawn Wong

SenDetEX: Sentence-Level AI-Generated Text Detection for Human-AI Hybrid Content via Style and Context Fusion

Lei Jiang, Desheng Wu, Xiaolong Zheng

Spontaneous Giving and Calculated Greed in Language Models

Yuxuan Li, Hirokazu Shirado

Chat-Driven Text Generation and Interaction for Person Retrieval

Zequn Xie, Chuxin Wang, Yeqiang Wang, Sihang Cai, Shulei Wang

R-TOFU: Unlearning in Large Reasoning Models

Sangyeon Yoon, Wonje Jeung, Albert No

M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models

Zexuan Li, Hongliang Dai, Piji Li

AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity

Yifan liu, Wenkuan Zhao, Shanshan Zhong, Jinghui Qin, Mingfu Liang

Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models

Bajian Xiang, Shuaijiang Zhao, Tingwei Guo, Wei Zou

Think in Safety: Unveiling and Mitigating Safety Alignment Collapse in Multimodal Large Reasoning Model

Xinyue Lou, You Li, Jinan Xu, Xiangyu Shi, Chi Chen

From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models

Zhihan Guo, Jiele Wu, Wenqian Cui, Yifei Zhang, Minda Hu

Good Intentions Beyond ACL: Who Does NLP for Social Good, and Where?

Grace LeFevre, Qingcheng Zeng, Adam Leif, Jason Jewell, Denis Peskoff

CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency

Zhanming Shen, Hao Chen, Yulei Tang, Shaolin Zhu, Wentao Ye

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization

Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu

DART: Distilling Autoregressive Reasoning to Silent Thought

Nan Jiang, Ziming Wu, De-Chuan Zhan, Fuming Lai, Shaobing Lian

MIO: A Foundation Model on Multimodal Tokens

Zekun Moore Wang, King Zhu, Chunpu Xu, Wangchunshu Zhou, Jiaheng Liu

InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles

Zizhen Li, Chuanhao Li, Yibin Wang, Qi Chen, Diping Song

SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models

Peng Ding, Wen Sun, Dailin Li, Wei Zou, Jiaming Wang

RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution

Jiahui Li, Lin Li, Tai-Wei Chang, Kun Kuang, Long Chen

Through the Valley: Path to Effective Long CoT Training for Small Language Models

Renjie Luo, Jiaxi Li, Chen Huang, Wei Lu

Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information

Yao Chen, Jiawei Sheng, Wenyuan Zhang, Tingwen Liu

Collab-Overcooked: Benchmarking and Evaluating Large Language Models as Collaborative Agents

Haochen Sun, Shuwen Zhang, Lujie Niu, Lei Ren, Hao Xu

Model-based Large Language Model Customization as Service

Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan

RESF: Regularized-Entropy-Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models

Pingyi Hu, Xiaofan Bai, Xiaojing Ma, Chaoxiang He, Dongmei Zhang

When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models

Cheng Wang, Gelei Deng, XIANGLIN YANG, Han Qiu, Tianwei Zhang

CalligraphicOCR for Chinese Calligraphy Recognition

Xiaoyi Bao, Zhongqing Wang, Jinghang Gu, Chu-Ren Huang

TrInk: Ink Generation with Transformer Network

Zezhong Jin, Shubhang Desai, Xu Chen, Biyi Fang, Zhuoyi Huang

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization

Yutao Zhu, Jiajie Jin, Hongjin Qian, Zheng Liu, Zhicheng Dou

P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs

Yidan Zhang, Yu Wan, Boyi Deng, Baosong Yang, Hao-Ran Wei

Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering

Zetong Li, Qinliang Su, Minhua Huang, Yin Yang

QSpec: Speculative Decoding with Complementary Quantization Schemes

Juntao Zhao, Wenhao Lu, Sheng wang, Lingpeng Kong, Chuan Wu

pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models

Zhanming Shen, Tianqi Xu, Hao Wang, Jian Li, Miao Pan

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs

Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao

BeSimulator: A Large Language Model Powered Text-based Behavior Simulator

Jianan Wang, Bin Li, Jingtao Qi, Xueying Wang, Fu Li

Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination

Zhongyi Ye, Weitai Zhang, Xinyuan Zhou, Yongxin Zhu, Ninghui Rao

Recall with Reasoning: Chain-of-Thought Distillation for Mamba’s Long-Context Memory and Extrapolation

Jun-Yu Ma, Tianqing Fang, Zhisong Zhang, Hongming Zhang, Haitao Mi

Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding

Yun-Shiuan Chuang, Sameer Narendran, Nikunj Harlalka, Alexander Cheung, Sizhe Gao

Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models

Yilin Wang, Heng Wang, Yuyang Bai, Minnan Luo

MultiAgentESC: A LLM-based Multi-Agent Collaboration Framework for Emotional Support Conversation

Yangyang Xu, Jinpeng Hu, Zhuoer Zhao, Zhangling Duan, Xiao Sun

TS-CLIP: Time Series Understanding by CLIP

Ziwen Chen, Xiaoyuan Zhang, Ming Zhu

CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation

Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Mingsong Yan, Zi Yang

Pruning the Paradox: How CLIP’s Most Informative Heads Enhance Performance While Amplifying Bias

Avinash Madasu, VASUDEV LAL, Phillip Howard

DASA-Trans-STM: Adaptive Efficient Transformer for Short Text Matching using Data Augmentation and Semantic Awareness

Jiguo Liu, Chao Liu, Meimei Li, Nan Li, Shihao Gao

COLA: Collaborative Multi-Agent Framework with Dynamic Task Scheduling for GUI Automation

Di Zhao, Longhui Ma, Siwei Wang, Miao Wang, Zhao Lv

ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering

Jingxuan Wei, Nan Xu, Junnan Zhu, Haoyanni, Gaowei Wu

LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation

Chaeeun Kim, Jinu Lee, Wonseok Hwang

Synergizing Multimodal Temporal Knowledge Graphs and Large Language Models for Social Relation Recognition

Haorui Wang, Zheng Wang, Yuxuan Zhang, Bo Wang, Bin Wu

RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis

Jianwei Wang, Chengming Shi, Junyao Yang, Haoran Li, Qianli Ma

DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling

Hao Sun, Zile Qiao, Bo Wang, Guoxin Chen, Yingyan Hou

Chain-of-Talkers (CoTalk): Fast Human Annotation of Dense Image Captions

Yijun Shen, Delong Chen, Fan LIU, Xingyu Wang, Chuanyi Zhang

Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills

Changsheng Wang, Chongyu Fan, Yihua Zhang, Jinghan Jia, Dennis Wei

In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties

Nathan Roll, Calbert Graham, Yuka Tatsumi, Kim Tien Nguyen, Meghan Sumner

SolEval: Benchmarking Large Language Models for Repository-level Solidity Smart Contract Generation

Zhiyuan Peng, Xin Yin, Rui Qian, Peiqin Lin, Yongkang Liu

ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling

Shaomu Tan, Christof Monz

Training LLMs to be Better Text Embedders through Bidirectional Reconstruction

Chang Su, Dengliang Shi, Siyuan Huang, Jintao Du, Changhua Meng

DIDS: Domain Impact-aware Data Sampling for Large Language Model Training

Weijie Shi, Jipeng Zhang, Yaguang Wu, Jingzhi Fang, Shibo Zhang

BannerAgency: Advertising Banner Design with Multimodal LLM Agents

Heng Wang, Yotaro Shimose, Shingo Takamatsu

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Siyue Zhang, Yilun Zhao, Liyuan Geng, Arman Cohan, Anh Tuan Luu

BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism

Qinzhuo Wu, Pengzhi Gao, Wei Liu, Jian Luan

FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain

Suifeng Zhao, Zhuoran jin, Sujian Li, Jun Gao

Superpose Task-specific Features for Model Merging

Haiquan Qiu, You Wu, Dong Li, Jianmin Guo, Quanming Yao

UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective

Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan

Mitigating Biases in Language Models via Bias Unlearning

Dianqing Liu, Yi Liu, Guoqing Jin, Zhendong Mao

Task-aware Contrastive Mixture of Experts for Quadruple Extraction in Conversations with Code-like Replies and Non-opinion Detection

Chenyuan He, Yuxiang Jia, Fei Gao, Senbin Zhu, Hongde Liu

Exploring the Impact of Personality Traits on LLM Bias and Toxicity

Shuo Wang, Renhao Li, Xi Chen, Yulin Yuan, Min Yang

Multimedia Event Extraction with LLM Knowledge Editing

Jiaao Yu, Yijing Lin, Zhipeng Gao, Xuesong Qiu, Lanlan Rui

ModRWKV: Transformer Multimodality in Linear Time

Jiale Kang, Ziyin Yue, Qingyu Yin, Rui Jiang, Weile Li

Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science

Peter Jansen, Samiah Hassan, Ruoyao Wang

ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA

Zhao Xinjie, Fan Gao, Xingyu Song, Yingjian Chen, Rui Yang

End-to-End Learnable Psychiatric Scale Guided Risky Post Screening for Depression Detection on Social Media

Bichen Wang, Yuzhe Zi, Yixin Sun, Hao Yang, Yanyan Zhao

KoBLEX: Open Legal Question Answering with Multi-hop Reasoning

Jihyung Lee, Daehui Kim, Seonjeong Hwang, Hyounghun Kim, Gary Lee

Quantifying Language Disparities in Multilingual Large Language Models

Songbo Hu, Ivan Vulić, Anna Korhonen

From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models

Jue Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

DSCD: Large Language Model Detoxification with Self-Constrained Decoding

Ming Dong, Jinkui Zhang, Bolong Zheng, Xinhui Tu, Po Hu

Icon2: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation

Qiyuan Chen, Hongsen Huang, Qian Shao, Jiahe Chen, Jintai Chen

F2TEval: Human-Aligned Multi-Dimensional Evaluation for Figure-to-Text Task

Tan Yue, Rui Mao, Zilong Song, Zonghai Hu, Dongyan Zhao

SmartBench: Is Your LLM Truly a Good Chinese Smartphone Assistant?

Xudong Lu, Haohao Gao, Renshou Wu, Shuai Ren, Xiaoxin Chen

AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation

Yilong Lai, Jialong Wu, Zhenglin Wang, Deyu Zhou

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions

Wanlong Liu, Junying Chen, Ke Ji, Li Zhou, Wenyu Chen

Language-to-Space Programming for Training-Free 3D Visual Grounding

Boyu Mi, Hanqing Wang, Tai WANG, Yilun Chen, Jiangmiao Pang

Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience

Xi Wang, Songlei Jian, Shasha Li, Xiaopeng Li, Bin Ji

CIE: Controlling Language Model Text Generations Using Continuous Signals

Vinay Samuel, Harshita Diddee, Yiming Zhang, Daphne Ippolito

JUREX-4E: Juridical Expert-Annotated Four-Element Knowledge Base for Legal Reasoning

Huanghai Liu, Quzhe Huang, Qingjing Chen, Yiran Hu, Jiayu Ma

Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations

Ziwei Ji, Lei Yu, Yeskendir Koishekenov, Yejin Bang, Anthony Hartshorn

Non-Existent Relationship: Fact-Aware Multi-Level Machine-Generated Text Detection

Yang Wu, Ruijia Wang, Jie Wu

T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering

Zhengyi Zhao, Shubo Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao

AdaptThink: Reasoning Models Can Learn When to Think

Jiajie Zhang, Nianyi Lin, Lei Hou, Ling Feng, Juanzi Li

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models

Xiaoyu Xu, Minxin Du, Qingqing Ye, Haibo Hu